Garuda - Garba Rujukan Digital

Pengembangan Cloud SCADA 1.3 sebagai otomasi industri jarak jauh iradiratu diah PK; Istiyo Winarno; Belly Yan Dewantara; Tri Rusti Maydrawati; Daeng Ramatullah
CYCLOTRON Vol 7 No 01 (2024): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v7i01.20522

Kegiatan produksi industry sangat tergantung oleh kemajuan teknologi dan otomasinya. Kemajuan otomasi industri sangat mempengaruhi kualitas dan kuantitas hasil produksi. SCADA Automation system merupakan teknologi yang digunakan untuk otomasi industry. Pengoperasian SCADA memerlukan tenaga ahli yang menguasai dasar, desain, dan pengaturan semua unit yang akan dikontrol. Untuk mencetak tenaga ahli yang berkompenten diperlukan alat pembelajaran yang tepat untuk mewadahi sarana pendidikan di universitas dan sekolah kejuruan. Minimnya produksi alat praktikum SCADA dalam negeri menjadi kendala besar untuk menvisualisasi kurikulum. Tuntutan perubahan kurikulum disesuaikan dengan kebutuhan dan kemajuan teknologi masa kini. Jika mengandalkan alat pratikum buatan luar negeri maka diperlukan waktu dan biaya yang tidak sedikit. Pembelajaran alat praktikum yang didatangkan dari luar negeri kadangkala tidak selaras dengan kurikulum di indonesia. Untuk menunjang SDM yang sesuai dengan tuntutan industry maka kurikulum pembelajaran harus disesuaikan dengan kebutuhan industry. Berdasar latar belakang tersebut maka penelitian ini mengembangkan alat praktikum SCADA sebagai otomasi industry dengan kurikulum yang sesuai dengan pembelajaran di Indonesia. Pengembangan Cloud SCADA 1.3 dikembangkan dengan mengaplikasikan revolusi teknologi 4.0 sebagai teknologi monitoring dan kendali jarak jauh. Hasil produk memberikan inovasi training kits produk dalam negeri yang sesuai dengan kurikulum dan tuntutan industry sebagai penunjang pembalajaran. Kata kunci: Training kits, SCADA, Otomasi industri, IoT

Automatic Tube Counter Monitoring System using Infrared Sensor based on NODEMCU ESP8266 Nawawi, Nawawi; Rusilawati, Rusilawati; Lisdawati, Ayu Novia; Winarno, Istiyo
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 7 No. 2 (2023)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v7i2.921

Technology is needed in every industry because it can simplify the production process, improve production quality, and enhance the company's reputation in the sight of consumers. The cylinder counting activity at PT Batuah Energi Indonesia is still done manually, involving time and standardized estimation of LPG cylinder loads, which faces inaccuracy issues. In fact, PT Batuah Energi Indonesia has facilities that handle many LPG cylinders from various users and providers of LPG cylinders. While accurate cylinder counts are beneficial to the industry, companies need technology that can automatically calculate the number of filled LPG cylinders. Therefore, this study was carried out to demonstrate to students how to develop automatic tube counters using an infrared E18-D80NK as a tube detector, NodeMCU microcontrollers ESP8266 as controllers, Arduino IDE for developing programs, and IoT for remote monitoring. The developed device approach, specifically using the E18-D80NK infrared proximity sensor based on the NodeMCU ESP8266, can be coded using the Arduino IDE compiler. For the detection of the number of tubes, the E18-EN80K infrared sensor is used and data transmission wirelessly utilizes the Blynk application. The results of the automatic tube counter monitoring tool were successfully tested with a 100% accuracy rate, utilizing the E18-D80NK infrared sensor and NodeMCU microcontroller ESP8266, and can be monitored remotely using Blynk.

Koordinasi Adaptif DOCR Pada Sistem Transmisi Loop Multi Generator Menggunakan Modified Firefly Algorithm-Artificial Neural Network Puspita Ayu, Yolanda Dewi; Rahmatullah, Daeng; Winarno, Istiyo
Jurnal Ilmiah Telsinas Vol 4 No 1 (2021)
Publisher : Universitas Pendidikan Nasional

Protection system is a very important component in the electric power distribution system. With good reliability, the distribution of electrical power will be better, one of which is by minimizing disruption to the system quickly, precisely and accurately. Components used in protection systems are directional overcurrent relays (DOCR). In this study proposed optimal and adaptive protection coordination using the Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) tested on the IEEE 9 real bus loop system with 4 generation combinations. Optimization using MFA will get the Time Delay Setting (TDS) and Ipickup (lowset) values. The ANN used is Backpropagation Lavenberg Marquardt (BPLM) After the BPLM learning process, we will get the weight and bias values of the training results and later as a reference value to get the value of TDS and Ipickup relay. The process will produce relay settings automatically based on the results of optimization and MFA-ANN training which are then simulated on the IEEE 9 bus loop system. The results achieved by MFA-ANN are suitable methods for modeling optimal and adaptive relay coordination systems. ANN training with the BPLM algorithm produces the smallest MSE value of 5.9308xE-10.

Pengembangan Cloud SCADA 1.3 sebagai otomasi industri jarak jauh PK, iradiratu diah; Winarno, Istiyo; Yan Dewantara, Belly; Tri Rusti Maydrawati; Daeng Ramatullah
CYCLOTRON Vol 7 No 01 (2024): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v7i01.20522

Kegiatan produksi industry sangat tergantung oleh kemajuan teknologi dan otomasinya. Kemajuan otomasi industri sangat mempengaruhi kualitas dan kuantitas hasil produksi. SCADA Automation system merupakan teknologi yang digunakan untuk otomasi industry. Pengoperasian SCADA memerlukan tenaga ahli yang menguasai dasar, desain, dan pengaturan semua unit yang akan dikontrol. Untuk mencetak tenaga ahli yang berkompenten diperlukan alat pembelajaran yang tepat untuk mewadahi sarana pendidikan di universitas dan sekolah kejuruan. Minimnya produksi alat praktikum SCADA dalam negeri menjadi kendala besar untuk menvisualisasi kurikulum. Tuntutan perubahan kurikulum disesuaikan dengan kebutuhan dan kemajuan teknologi masa kini. Jika mengandalkan alat pratikum buatan luar negeri maka diperlukan waktu dan biaya yang tidak sedikit. Pembelajaran alat praktikum yang didatangkan dari luar negeri kadangkala tidak selaras dengan kurikulum di indonesia. Untuk menunjang SDM yang sesuai dengan tuntutan industry maka kurikulum pembelajaran harus disesuaikan dengan kebutuhan industry. Berdasar latar belakang tersebut maka penelitian ini mengembangkan alat praktikum SCADA sebagai otomasi industry dengan kurikulum yang sesuai dengan pembelajaran di Indonesia. Pengembangan Cloud SCADA 1.3 dikembangkan dengan mengaplikasikan revolusi teknologi 4.0 sebagai teknologi monitoring dan kendali jarak jauh. Hasil produk memberikan inovasi training kits produk dalam negeri yang sesuai dengan kurikulum dan tuntutan industry sebagai penunjang pembalajaran. Kata kunci: Training kits, SCADA, Otomasi industri, IoT

The Implementation of Nonlinear Signal Techniques for Enhanced Monitoring of Marine Propulsion Systems Karyatanti, Iradiratu Diah Prahmana; Winarno, Istiyo; Dewantara, Belly Yan; Wibisono, Anggo Suryo
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22794

The motor is a crucial component of a ship's propulsion system, playing a significant role in facilitating smooth maritime transportation operations. Various factors, including dynamic loads, speed variations, and unstable marine environmental conditions influence the performance of the propulsion motor. Under dynamic conditions, the ship's propulsion motor encounters challenges such as load fluctuations, vibrations, and other disturbances that can affect its efficiency and operational lifespan. Consequently, real-time monitoring of the motor's condition has become an urgent necessity to detect potential damage early and ensure the safety and reliability of the ship's operations. This study aims to develop a condition monitoring system for ship propulsion motors using nonlinear acoustic signals. These signals will be processed using appropriate algorithms for nonlinear signals' characteristics. The Short Time Fourier Transform (STFT) is identified as a suitable algorithm for processing nonlinear signals. The filtered signal results will provide insights into the condition of the ship's propulsion motor. Given the influence of vibrations and non-engine noise, careful consideration must be given to sensor placement to achieve high monitoring accuracy. The Completely Randomized Design (CRD) approach will be employed to determine the optimal sensor placement. Through precise signal processing, meticulous spectral analysis, and optimal sensor positioning, accurate information can be obtained. The research findings indicate that the motor monitoring system achieved an accuracy rate of 100% with the sensor positioned 110 cm from the test motor body.

Vertical Axis Wind Turbine-Flettner Rotor Integration as Hybrid Propulsion Power on a Model Ship Ratono, Erfprins Azhar; Suwasono, Bagiyo; Winarno, Istiyo; Sutiyo, Sutiyo
International Journal of Marine Engineering Innovation and Research Vol 9, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.20481

Natural energy is something that can be utilized as an alternative energy besides fossil fuel energy. Considering that the need for fossil fuel energy is decreasing, the purpose of this research is to propose a utilization of natural energy in the form of wind. The implication of the use of this alternative energy in the hybrid power function is that the integration of vertical axis wind turbines and Flettner rotors is chosen as the main driving energy of the model ship that fully utilizes wind energy. The performance evaluation stages in this experiment include design and simulation for the turbine-Flettner rotor, and trials on a model ship using a monohull type hull. The objective of this research is to obtain the optimum performance of the combined vertical-axis wind turbine-Fletner rotor in supporting hybrid propulsion power on a model ship. The power required by Flettner is 0.695 Watt and the turbine rotate at a minimum angular velocity of 40 rpm. The highest contribution of the Flettner rotor at ship service speed 1 knot and ship total resistance of 0.01 kN reached 26,20%.

Analysis of The Impact of Temperature and Discharge Current on The Efficiency of LiFePO4 Batteries in Solar Charging Stations Winarno, Istiyo; Agung, Ach. Fathullah Pria; Dewantara, Belly Yan
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 8 No. 2 (2024): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v8i2.1700

The demand for electrical energy is increasing, along with technological advancements and population growth. Many countries still rely on petroleum, coal, and aerosol gasoline, exacerbating global warming. Electric vehicles offer a promising solution to reduce greenhouse gas emissions and dependence on fossil fuels, although their primary challenge is the availability of charging infrastructure. Solar-powered electric motor charging stations can help reduce electricity demand and global warming. An efficient charging system is needed to analyse the impact of temperature and discharge current on the energy produced to achieve this. Several load tests and temperature measurements over 5 days were conducted to cluster temperatures occurring throughout a full day. The tests using data acquisition showed energy losses caused by the effect of temperature on the charging station's storage battery. Energy efficiency graphs for each test case indicated a varied decrease in energy efficiency, with higher efficiency at lower temperatures and smaller energy losses compared to other temperatures. The load amount also affects the magnitude of energy losses. At a 500W load, the average energy loss was 46Wh, while at a 1000W load, the average energy loss was 52Wh per hour of testing the storage battery discharge. In summary, temperature and load amount can affect energy efficiency and the resulting losses.

Vertical Axis Wind Turbine-Flettner Rotor Integration as Hybrid Propulsion Power on a Model Ship Erfprins Azhar Ratono; Bagiyo Suwasono; Istiyo Winarno; Sutiyo
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 2 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.4990

Natural energy is something that can be utilized as an alternative energy besides fossil fuel energy. Considering that the need for fossil fuel energy is decreasing, the purpose of this research is to propose a utilization of natural energy in the form of wind. The implication of the use of this alternative energy in the hybrid power function is that the integration of vertical axis wind turbines and Flettner rotors is chosen as the main driving energy of the model ship that fully utilizes wind energy. The performance evaluation stages in this experiment include design and simulation for the turbine-Flettner rotor, and trials on a model ship using a monohull type hull. The objective of this research is to obtain the optimum performance of the combined vertical-axis wind turbine-Fletner rotor in supporting hybrid propulsion power on a model ship. The power required by Flettner is 0.695 Watt and the turbine rotate at a minimum angular velocity of 40 rpm. The highest contribution of the Flettner rotor at ship service speed 1 knot and ship total resistance of 0.01 kN reached 26,20%.

The Implementation of Nonlinear Signal Techniques for Enhanced Monitoring of Marine Propulsion Systems Iradiratu Diah Prahmana Karyatanti; Istiyo Winarno; Belly Yan Dewantara; Anggo Suryo Wibisono
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 2 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.6378

The motor is a crucial component of a ship's propulsion system, playing a significant role in facilitating smooth maritime transportation operations. Various factors, including dynamic loads, speed variations, and unstable marine environmental conditions influence the performance of the propulsion motor. Under dynamic conditions, the ship's propulsion motor encounters challenges such as load fluctuations, vibrations, and other disturbances that can affect its efficiency and operational lifespan. Consequently, real-time monitoring of the motor's condition has become an urgent necessity to detect potential damage early and ensure the safety and reliability of the ship's operations. This study aims to develop a condition monitoring system for ship propulsion motors using nonlinear acoustic signals. These signals will be processed using appropriate algorithms for nonlinear signals' characteristics. The Short Time Fourier Transform (STFT) is identified as a suitable algorithm for processing nonlinear signals. The filtered signal results will provide insights into the condition of the ship's propulsion motor. Given the influence of vibrations and non-engine noise, careful consideration must be given to sensor placement to achieve high monitoring accuracy. The Completely Randomized Design (CRD) approach will be employed to determine the optimal sensor placement. Through precise signal processing, meticulous spectral analysis, and optimal sensor positioning, accurate information can be obtained. The research findings indicate that the motor monitoring system achieved an accuracy rate of 100% with the sensor positioned 110 cm from the test motor body.

Analisis Perbandingan Output Daya Listrik Panel Surya Sistem Tracking Dengan Solar Reflector: Analisis Perbandingan Output Daya Listrik Panel Surya Sistem Tracking Dengan Solar Reflector Dwi Cahyanto, Wahyu; Winarno, Istiyo; Dewantara, Belly Yan
J-Eltrik Vol 6 No 1 (2024): Juli
Publisher : Fakultas Teknik dan Ilmu Kelautan, Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/je.v6i1.143

At this time, one type of alternative energy that is growing rapidly and is widely used by many countries is solar energy which is used as a power plant in the form of solar cells. This technology can convert the intensity of the sun into electrical energy. In its development, a control system is needed to optimize the output power of solar cells, such systems are using solar tracking which can control the position of solar cells so that they are always perpendicular to the direction of the sun automatically and a solar reflector that uses a flat mirror as optics to optimize light intensity. The system used for this arrangement is called a solar tracking and reflector system with Adaptive Neuro Fuzzy Inference System (ANFIS) control. The results obtained from the tracking system after testing the most optimal power obtained when the solar cell is perpendicular to the sun with ANFIS control which is 12,743 watts and the solar cell with reflector can optimize power twice as much..

Title

Found 35 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 35 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 35 Documents
Search